Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/120828
Title: Association Mapping in Chickpea Cicer arietinum L
Researcher: Manish Roorkiwal
Guide(s): P.C. Sharma
Keywords: 
University: Guru Gobind Singh Indraprastha University
Completed Date: 2012
Abstract: Chickpea (Cicer arietinum L.) is an important food legume crop, particularly for the arid regions newlineincluding Indian subcontinent, providing one of the most balanced nutritional compositions. newlineChickpea is a valuable source for many important proteins, mineral and vitamins among legumes newlineand contributes a major protein component to the predominantly vegetarian diet in India. newlineEcologically, chickpea is also known as an efficient N2-fixing system due to its capability of newlinesymbiotic nitrogen fixation (SNF). Annual chickpea production in India remained 7.06 million newlinetonnes (MT) for the year 2009, with an average yield of 0.89 t/ha. India ranks number 1 in global newlinechickpea production but ranks 31st in average yield. Current global yield average of chickpea is newline0.9 t/ha, which is very much less than estimated potential of 6 t/ha under optimum growing newlineconditions. Despite its economic importance chickpea productivity/yield is significantly low as newlinecompared to expected because of losses due to various abiotic (drought, cold and salinity) and newlinebiotic stresses (Helicoverpa, Ascochyta blight, Fusarium wilt and Botrytis grey mold). newline newlineThe work embodied in this thesis describes the identification of ten abiotic stress newlineresponsive candidate genes based on sequence similarity approach, which have been previously newlineproved to play an important role in abiotic stress response in known model crops and map those newlinegenes with abiotic stress responsive traits. These candidate genes were then used for allele newlinemining and detection of marker trait association with abiotic stress related root traits, using newlinediversity available in chickpea mini core collection using candidate gene based association newlinemapping.
Pagination: 
URI: http://hdl.handle.net/10603/120828
Appears in Departments:University School of Biotechnology

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02_certificate.pdf68.16 kBAdobe PDFView/Open
03_acknowledgement.pdf53.05 kBAdobe PDFView/Open
04_contents.pdf16.92 kBAdobe PDFView/Open
05_list of tables.pdf168.59 kBAdobe PDFView/Open
06_figures.pdf1.01 MBAdobe PDFView/Open
07_chapter_01.pdf45.73 kBAdobe PDFView/Open
08_chapter_02.pdf590.42 kBAdobe PDFView/Open
09_chapter_03.pdf234.26 kBAdobe PDFView/Open
10_chapter_04.pdf165.54 kBAdobe PDFView/Open
11_chapter_05.pdf79.6 kBAdobe PDFView/Open
12_summery.pdf74.76 kBAdobe PDFView/Open
13_table 09.pdf383.2 kBAdobe PDFView/Open
14_table 10.pdf90.92 kBAdobe PDFView/Open
15_references.pdf331.31 kBAdobe PDFView/Open


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